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        <title>Frontiers in Genetics | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/genetics</link>
        <description>RSS Feed for Frontiers in Genetics | New and Recent Articles</description>
        <language>en-us</language>
        <generator>Frontiers Feed Generator,version:1</generator>
        <pubDate>2026-07-03T03:18:46.741+00:00</pubDate>
        <ttl>60</ttl>
        <item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1795267</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1795267</link>
        <title><![CDATA[Identification of potential biomarkers and therapeutic targets for osteoarthritis associated with arginine and proline metabolism based on transcriptome sequencing and bioinformatics]]></title>
        <pubdate>2026-07-03T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Xiao-Hua Chen</author><author>Jun Liu</author><author>Ling Qiu</author><author>Yang Zhan</author><author>Zhuo-Ming Zheng</author><author>Peng Chen</author><author>You-Xin Su</author><author>Jie-Mei Guo</author><author>Sheng-Jian Weng</author>
        <description><![CDATA[Background and ObjectivesOsteoarthritis (OA) is a chronic degenerative joint disease. Approximately 300 million people worldwide suffer from OA, which shows a high incidence in middle-aged and elderly populations, with a prevalence of 50% among individuals aged over 60 years. Its core clinical symptoms consist of joint pain, swelling, and dysfunction. Studies have shown that arginine and proline metabolism play an important role in the pathogenesis and progression of OA, but the specific mechanism is still unclear. This study aimed to identify biomarkers and drug therapeutic targets for OA associated with arginine and proline metabolism.MethodsSynovial tissues of healthy individuals and OA patients were collected for transcriptome sequencing, and the differentially expressed genes (DEGs) between the two groups were compared and analyzed. Arginine and proline metabolism-related genes (APRGs) were obtained from the molecular signature database. The candidate genes were identified by weighted gene co-expression network analysis (WGCNA), and then gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis and protein-protein interaction (PPI) were performed. Expression validation was performed using machine learning and ROC analysis to identify key genes. Gene set enrichment analysis (GSEA), immune cell infiltration, and drug prediction were used to explore the mechanism of key genes in OA and potential therapeutic drugs. Finally, clinical samples were experimentally validated through RT-qPCR experiments.ResultsTwo hub genes (MYOM2 and TCAP) involved in arginine and proline metabolism were identified. A nomogram constructed based on these genes indicated that MYOM2 and TCAP are key and reliable predictors for osteoarthritis risk. The RT-qPCR experiments on clinical samples showed that the expression levels of these hub genes were significantly downregulated in the synovial tissue of OA patients (p < 0.05), suggesting their potential as diagnostic biomarkers.DiscussionMYOM2 and TCAP are hub genes in OA metabolism with arginine and proline, which may become new diagnostic markers and potential therapeutic targets for OA.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1850219</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1850219</link>
        <title><![CDATA[CNNKSCEC: a deep learning-based framework for chromatin loop prediction with multi-source feature integration]]></title>
        <pubdate>2026-07-03T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Junfeng Wang</author><author>Bingzi Zheng</author><author>Lili Wu</author><author>Xiaoyan Liu</author><author>Haixia Zhai</author><author>Junwei Luo</author>
        <description><![CDATA[MotivationChromatin in the cell nucleus adopts a complex three-dimensional (3D) structure shaped by folding and interactions, with chromatin loops serving as fundamental organizational units. Accurate loop prediction is essential for understanding gene regulation and disease mechanisms. However, existing chromatin loop prediction methods still face challenges in noise handling, data imbalance, and multi-omics integration.ResultsIn this study, we present CNNKSCEC, a deep learning-based framework for chromatin loop prediction via multi-source feature fusion. The model integrates Hi-C and DNase-seq data into a dual-channel feature matrix as input. It employs a three-stage iterative feature extraction framework consisting of a dual-branch convolutional module (CNNC), a SCConv module combining SRU and CRU, and an ECHybridAddition module integrating both ECA and CBAM attention mechanisms. This design enables iterative multi-scale feature extraction and enhances the feature representation capability of the input matrix. Finally, the model uses a fully connected layer for classification, generating candidate chromatin loops with prediction scores, and filters out false candidates through density-based clustering. In the experiments, we compare CNNKSCEC with existing chromatin loop prediction methods, and the results demonstrate that the approach outperforms other methods overall in terms of performance. The code is available from https://github.com/zhengbingzi/CNNKSCEC.git.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1842902</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1842902</link>
        <title><![CDATA[Case Report: Novel homozygous pathogenic variant of the SPG20 gene causes the Troyer syndrome in China]]></title>
        <pubdate>2026-07-02T00:00:00Z</pubdate>
        <category>Case Report</category>
        <author>Lina Zhu</author><author>Siqi Hu</author><author>Xinyang Jiang</author><author>Rujie Gu</author><author>Yongxia Wang</author><author>Shufang Zhang</author><author>Fujun Peng</author><author>Xiuwei Ma</author>
        <description><![CDATA[Hereditary spastic paraplegia (HSP) comprises a group of neurodegenerative disorders characterized by progressive spasticity of the lower limbs. Troyer syndrome (MIM #275900), an autosomal recessive form of complicated HSP, was initially described in the Old Order Amish population. The syndrome is associated with a spectrum of clinical manifestations, including spastic paraplegia, muscle atrophy, dysarthria, intellectual disability, and abnormal white matter on neuroimaging. The causative gene for Troyer syndrome has been identified as SPG20, which encodes the spartin protein. Spartin plays a pivotal role in lipid droplet degradation and mitochondrial function. Here, we report the clinical and molecular features of the second documented case of Troyer syndrome in China. The patient, a 5-year-8-month-old Han Chinese girl, presented with delayed psychomotor development, abnormal gait, and a history of febrile seizures. Whole-exome sequencing revealed a novel homozygous pathogenic variant, c.1734-1G>C, in SPG20, leading to a frameshift and the expression of a truncated protein. This variant was absent from multiple population databases of healthy individuals, and both parents were heterozygous carriers without clinical manifestations. Functional studies in cells transfected with SPG20 constructs demonstrated that the variant spartin protein failed to localize to lipid droplets, leading to their accumulation. This functional impairment may contribute to the pathogenesis of Troyer syndrome. Our findings expand the variant spectrum of SPG20 and provide further insight into the genotype–phenotype relationship in Troyer syndrome, highlighting the critical role of spartin in lipid metabolism and neuronal function.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1841116</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1841116</link>
        <title><![CDATA[Homozygous familial hypercholesterolemia, experience with Evinacumab treatment in two Mexican pediatric patients: case report]]></title>
        <pubdate>2026-07-02T00:00:00Z</pubdate>
        <category>Case Report</category>
        <author>Ramón Madriz Prado</author><author>Yazmín Guadalupe Ríos Solís</author><author>Diana Estefanía Guerrero Dávila</author><author>Lucía Molina Fernández</author><author>Omar Spencer Aguilar Reyes</author><author>Ilse Ordóñez</author><author>Leticia Ramos</author><author>Marisol González</author>
        <description><![CDATA[Homozygous familial hypercholesterolemia (HoFH) is a rare and life-threatening genetic disorder characterized by extremely elevated low-density lipoprotein cholesterol (LDL-C) levels from birth, leading to accelerated atherosclerotic cardiovascular disease and premature mortality. Conventional lipid-lowering therapies often provide insufficient LDL-C reduction, particularly in patients with minimal or absent LDL receptor (LDLR) function. Evinacumab, an angiopoietin-like protein 3 (ANGPTL3) inhibitor, lowers LDL-C independently of LDLR activity and represents a major therapeutic advance. Here we report two Mexican pediatric patients with HoFH who demonstrated profound LDL-C reductions following initiation of Evinacumab (59% and 68% within the first month of treatment), exceeding reductions observed in pivotal clinical trials. Both patients maintained sustained LDL-C reductions during long-term follow-up (up to 22 months). Importantly, temporary treatment interruption in both cases due to administrative and supply related difficulties limited access to Evinacumab was associated with marked rebound hypercholesterolemia. Reinitiation of therapy led to rapid and substantial lipid reduction, demonstrating a clear dechallenge–rechallenge effect and confirming the relevance of a continuous pharmacologic treatment with ANGPTL3 inhibition. Serial vascular imaging in one patient revealed partial regression of subclavian and carotid artery stenosis, as well as reduced aortic wall thickening following sustained LDL-C reduction; adding evidence to the recently described vascular improvement associated with Evinacumab therapy in pediatric HoFH. Both patients also experienced clinically meaningful improvements in quality of life, and treatment was well tolerated without serious adverse events.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1865257</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1865257</link>
        <title><![CDATA[Disease-predominant loci across Alzheimer’s disease, Parkinson’s disease and Lewy body dementia: evidence from the UK Biobank prospective cohort, conditional GWAS and colocalization]]></title>
        <pubdate>2026-07-02T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Ying Zhang</author><author>Zhishuai Zhang</author><author>Shizheng Qiu</author><author>Yang Hu</author>
        <description><![CDATA[BackgroundAlzheimer’s disease (AD), Parkinson’s disease (PD) and Lewy body dementia (LBD) overlap clinically, pathologically and genetically, complicating interpretation of cross-disorder genome-wide association study (GWAS) signals.MethodsWe analysed 322,963 UK Biobank participants with bidirectional time-varying Cox models, one-year and two-year lag analyses, and competing-risk sensitivity models to quantify AD-PD clinical co-occurrence. We then analysed European-ancestry AD, PD and LBD GWAS summary statistics using linkage disequilibrium score regression (LDSC), GCTA-mtCOJO/GSMR, MAGMA, stratified LDSC, brain eQTL/mQTL SMR with HEIDI filtering, and Bayesian colocalization for selected methylation probes. Conditional loci were compared with original GWAS loci to separate shared liability from retained disorder-predominant associations.ResultsPD was associated with subsequent AD (fully adjusted HR 2.27, 95% CI 1.94–2.65; P = 6.40E-25), and AD was associated with subsequent PD (HR 3.14, 95% CI 2.56–3.85; P = 2.10E-28). Lag and competing-risk sensitivity analyses remained concordant. LDSC estimated positive genetic correlations for AD-PD (rg = 0.20; P = 0.0086) and PD-LBD (rg = 0.61; P = 0.0005). Conditioning reduced genome-wide significant loci from 14 to 9 for AD, from 24 to 21 for PD and from 5 to 2 for LBD. Retained loci included AD signals near CR1, BIN1, CLU, SPI1, MS4A, PICALM, ABCA7 and APOE; PD signals near GBA, NUCKS1, TMEM163, STK39, GAK/TMEM175, BST1, SNCA, LRRK2, MAPT and RIT2; and LBD signals near SNCA/MMRN1 and APOE. MAGMA and S-LDSC highlighted amyloid, lipid, immune, synaptic-vesicle and brain-tissue enrichment patterns. Brain QTL analyses prioritized retained eQTL and mQTL signals, and colocalization supported shared PD-GWAS/mQTL signals at HLA-DRB5, ARHGAP27, CRHR1, MAPT and KANSL1.ConclusionAD and PD show bidirectional clinical co-occurrence, whereas conditional genetic analyses retain a smaller set of disease-predominant loci and regulatory signals across AD, PD and LBD. These findings refine cross-disorder interpretation and nominate loci for independent genetic and functional validation.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1828693</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1828693</link>
        <title><![CDATA[Application of acute myocardial infarction-related key genes in noninvasive diagnosis: a comprehensive analysis based on transcriptome and single-cell transcriptome]]></title>
        <pubdate>2026-07-02T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Mingbin Xie</author><author>Yuanhong Wu</author><author>Xinyao Jin</author><author>Fengchun Jiang</author><author>Qiang Yao</author>
        <description><![CDATA[BackgroundAcute myocardial infarction (AMI), a highly fatal cardiovascular emergency, presents ongoing clinical challenges in both early diagnosis and the elucidation of its associated immuno-inflammatory processes. By integrating multi-omics data, this research seeks to identify novel diagnostic biomarkers and uncover their potential mechanisms in AMI.MethodsBy integrating transcriptomic data, core genes linked to AMI were identified by differential expression and weighted gene co-expression network analysis (WGCNA). A multivariate logistic regression diagnostic model was constructed based on these genes, and its diagnostic efficacy was evaluated with receiver operating characteristic (ROC) curve analysis. In vitro, an oxygen-glucose deprivation/reperfusion (OGD/R) model was generated in AC16 human cardiomyocytes. We used lentiviral transduction to knock down the key gene. Cell proliferation was evaluated by Cell Counting Kit-8 (CCK-8) assay, apoptosis levels were measured by Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) staining and flow cytometry, and the mRNA and protein expression of key genes were detected with qRT-PCR and Western blot.ResultsThree AMI core genes (PLA2G15, ADAP2, and FAM20C) were successfully identified. The diagnostic model established via multifactorial logistic regression exhibited satisfactory discriminatory power. In vitro experiments confirmed that ADAP2 expression was markedly upregulated in the OGD/R model. Knocking down ADAP2 effectively alleviated OGD/R-induced suppression of cell proliferation, apoptosis enhancement, and expression increase of inflammatory factors (TNF-α, IL-6, IL-1β). Mechanistically, ADAP2 knockdown inhibited the expression of key proteins in the IL-17 signaling pathway (IL-17A, IL-17RA, ACT1). Exogenous addition of rhIL-17A reversed the protective effect of ADAP2 knockdown against cellular injury.ConclusionThe combined diagnostic model derived from the AMI core genes PLA2G15, ADAP2, and FAM20C exhibited robust diagnostic power for noninvasive diagnosis. ADAP2 can influence AMI-induced myocardial injury through the IL-17 signaling pathway.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1874960</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1874960</link>
        <title><![CDATA[S100A9 as a shared biomarker and mediator of metabolic dysfunction in peripheral artery disease and sarcopenia]]></title>
        <pubdate>2026-07-02T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yaming Guo</author><author>Wenxin Zhao</author><author>Hai Feng</author><author>Yongjun Li</author>
        <description><![CDATA[BackgroundsPeripheral artery disease (PAD) frequently causes to persistent functional impairment in skeletal muscle even after successful revascularization, implicating non-ischemic pathological mechanisms. Sarcopenia, a myopathy characterized by progressive loss of muscle mass, strength, and function—shares these non-ischemic features and affects approximately one-third of PAD patients, yet the molecular basis of their comorbidity remains poorly defined.MethodsThree transcriptome datasets (GSE120642, GSE181930, and GSE226151) were included in the analysis, covering skeletal muscle samples from peripheral artery disease (PAD) and sarcopenia. Weighted gene co-expression network analysis (WGCNA) was performed independently for each disease cohort, followed by parallel feature selection using three machine learning algorithms (LASSO, Random Forest, and Boruta) to identify shared diagnostic biomarkers. Immune cell infiltration was deconvoluted using CIBERSORT. Drug-gene interaction analysis was conducted via DGIdb. The functional role of the lead candidate S100A9 was validated by untargeted metabolomic profiling of C2C12 myoblasts treated with recombinant S100A9.ResultsSeventy-six overlapping disease-associated genes were identified from WGCNA, and five core diagnostic biomarkers—BCKDHB, PIM1, JAML, NFE2, and S100A9 — were selected through three-way machine learning consensus. Enrichment analyses revealed shared involvement of innate immune activation, granulocyte infiltration, and branched-chain amino acid (BCAA) catabolism. CIBERSORT deconvolution confirmed elevated neutrophil abundance as a convergent immune feature of both diseases. Metabolomic profiling demonstrated that recombinant S100A9 disrupted nucleotide and energy homeostasis, induced mitophagy dysregulation, and promoted oxidative stress in C2C12 myoblasts. DGIdb screening identified Paquinimod, a selective S100A9 inhibitor with Phase II clinical safety data, as a candidate for therapeutic repositioning.ConclusionThis study reveals that upregulation of skeletal muscle inflammation and abnormal branched-chain amino acid metabolism may be common features of PAD and sarcopenia. BCKDHB, PIM1, JAML, NFE2, and S100A9 were identified as common diagnostic biomarkers, and metabolomics further confirmed that S100A9 may be a potential intervention target.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1852317</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1852317</link>
        <title><![CDATA[Novel deep intronic variants in NTRK1 underlying congenital insensitivity to pain with anhidrosis]]></title>
        <pubdate>2026-07-02T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Xin Chen</author><author>Shuang Li</author><author>Zhe Liu</author><author>Jian Cheng</author><author>Xiuzhi Ren</author><author>Xiuli Zhao</author>
        <description><![CDATA[ObjectivesCongenital insensitivity to pain with anhidrosis (CIPA) is a rare autosomal recessive disorder caused by mutations in NTRK1 that is characterized by pain insensitivity, anhidrosis, and recurrent fever. While genetic testing is the gold standard for CIPA diagnosis, the complexity of NTRK1 variants poses major challenges. Conventional sequencing that is limited to the coding regions of NTRK1 results in misdiagnoses or missed diagnoses in approximately 57% of patients. Accordingly, to improve the diagnostic efficiency of CIPA, we integrated whole-genome sequencing (WGS) with functional assays to identify deep intronic variants in NTRK1.MethodsAll 18 probands were initially screened using polymerase chain reaction (PCR) and Sanger sequencing covering all exons and canonical splice sites of NTRK1. For patients with only one identified pathogenic allele, WGS was performed to detect potential deep intronic variants. Candidate variants were functionally validated using reverse transcription PCR (RT-PCR) and T cloning sequencing to evaluate their effects on pre-mRNA splicing.ResultsTotal 23 pathogenic variants including 11 novel variants in NTRK1 were identified in 18 unrelated families with CIPA. Functional assays confirmed that five of these variants disrupted the normal splicing of NTRK1, resulting in multiple aberrant splicing patterns, including two exon-skipping events (c.428 + 273A>T, c.850 + 5G>A), three intron retentions (c.2187 + 389C>T, c.2188–459G>T, c.287 + 4A>C), and one pseudoexon insertion (c.2188–459G>T).ConclusionThis study expands the spectrum of pathogenic variants in NTRK1 and improves the genetic diagnosis of CIPA. The functional characterization of five novel non-canonical splicing variants provides deeper insight into the molecular pathogenesis of this disorder and establishes a foundation for future precision medicine approaches in CIPA.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1827858</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1827858</link>
        <title><![CDATA[Integrative serum metabolite prioritization and functional screening identify N-acetyl-L-glutamine as a protective candidate in premature ovarian insufficiency]]></title>
        <pubdate>2026-07-02T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Xinyue Zhang</author><author>Chen Chen</author><author>Xiaolan Zhu</author>
        <description><![CDATA[BackgroundPremature ovarian insufficiency (POI) is a major cause of female infertility and is increasingly associated with systemic metabolic dysregulation. However, whether circulating metabolic alterations contribute causally to POI development or primarily arise as secondary consequences of ovarian failure remains unclear. In this study, bidirectional Mendelian randomization (MR), cell-based screening, and exploratory target-prioritization analyses were integrated to identify POI-related metabolites and functionally relevant candidates.MethodsTwo-sample MR was performed using genome-wide association studies (GWAS) summary data for 1,400 serum metabolites/metabolite ratios and POI. After instrumental variable filtering and harmonization, 1,352 exposures with valid inverse-variance weighted (IVW) estimates were retained for forward MR and multiple-testing correction. Both Benjamini–Hochberg false discovery rate (FDR) and Bonferroni correction were applied. Reverse MR was then conducted as a secondary directionality analysis to assess whether genetic liability to POI was also associated with circulating metabolic alterations. Experimentally tractable metabolites were screened in cyclophosphamide (CTX)-injured KGN cells using CCK-8 assays and Western blotting. For the prioritized metabolite, further functional validation was performed using SA-β-gal staining, ROS detection, and JC-1 assays. Proteome-wide MR, colocalization analysis, summary-data-based MR (SMR), drug prediction, and molecular docking were subsequently conducted as exploratory downstream analyses.ResultsAmong the 1,352 analysable exposures, 54 showed nominal associations with POI at PIVW < 0.05. After FDR and Bonferroni correction, sphinganine-1-phosphate remained the only metabolite that reached multiple-testing-corrected significance and was positively associated with POI risk, suggesting that it may represent a risk-associated metabolic candidate. Reverse MR identified exploratory POI-to-metabolite associations for six metabolites, indicating that genetic liability to POI may also be linked to systemic metabolic alterations. The experimental screening aimed to identify protective metabolites; therefore, N-acetyl-L-glutamine was prioritized from nominal inverse MR signals on the basis of its protective direction, glutamine-related identity, biological plausibility, and feasibility for cell-based assays. Among the five screened metabolites, N-acetyl-L-glutamine had the most consistent protective effect in CTX-injured KGN cells, attenuating p21 and p53 upregulation, reducing the number of SA-β-gal-positive cells and the accumulation of ROS, and partially restoring the mitochondrial membrane potential. Downstream analyses identified LILRB1 as an exploratory candidate protein linked to N-acetyl-L-glutamine levels that warrants further investigation, and cianidanol as a computational lead requiring functional validation.ConclusionThis study identifies N-acetyl-L-glutamine as a biologically plausible and experimentally supported protective metabolite candidate that attenuates CTX-induced senescence, oxidative stress, and mitochondrial dysfunction in granulosa-like cells. By integrating metabolome-wide MR with bidirectional analyses, our findings support a metabolite-centred framework for investigating POI-related metabolic vulnerability and oncofertility-related ovarian injury. Sphinganine-1-phosphate emerged as a multiple-testing-corrected risk-associated metabolite, whereas LILRB1 and cianidanol generated exploratory hypotheses for future mechanistic and pharmacological studies.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1829878</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1829878</link>
        <title><![CDATA[Integrative bioinformatics and in vivo validation suggest a potential role of Cbr4 in alcohol use disorder through modulation of lipid metabolism and treg cell function in the central amygdala]]></title>
        <pubdate>2026-07-01T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yao Ge</author><author>Yihan Yuan</author><author>Min Li</author><author>Zhenxia Huang</author><author>Chenli Zhang</author><author>Caiyu Yu</author><author>Jinyu Xu</author><author>Siao Zhang</author><author>Hongwei Guo</author><author>Xu Zhang</author><author>Rao Fu</author><author>Zhiheng Ren</author>
        <description><![CDATA[BackgroundThe central amygdala (CeA) is closely associated with the development of alcohol dependence by mediating negative affective and stress responses during alcohol withdrawal. Chronic alcohol disrupts CeA neuroimmune balance and lipid metabolism, accelerating alcohol use disorder (AUD), but the regulatory mechanisms remain unclear. This exploratory study aimed to identify CeA key genes associated with AUD and investigate their potential involvement in mediating these dysregulations.MethodsBased on the GSE31708 dataset, differential gene analysis, protein-protein interaction (PPI) network, random forest, and LASSO regression were used to screen hub genes. Adult male Long-Evans rats were trained to consume alcohol over 8 weeks; open field test (OFT) and elevated plus maze (EPM) assessed withdrawal-induced anxiety, and RT-qPCR validated candidate genes. CIBERSORT analyzed immune cell composition, co-expression networks delineated molecular interactions, and Mendelian randomization (MR) explored potential genetic associations.ResultsHub gene Cbr4 was found to be significantly upregulated in the CeA of AUD subjects. Preliminary in vivo validation revealed increased Cbr4 expression in alcohol-withdrawn rats, and a negative correlation was observed between Cbr4 expression and anxiety-like behavioral parameters. Mendelian randomization analyses suggest that Ephx2 -a pivotal molecule in the co-expression network-has a genetic association with Cbr4 (OR = 1.32, 95% CI = 1.15–1.51, p = 0.031). Immune infiltration analysis indicated reduced regulatory T cell (Treg) levels in AUD subjects, with Cbr4 expression showing a negative correlation with Treg abundance. Multiple Treg subtypes appeared to be associated with a protective effect against AUD (OR = 0.9744–0.9797, p = 0.036–0.043).ConclusionOur findings suggest that Cbr4 in the CeA may play a role in the pathological processes of AUD. It may contribute to AUD development through two potential mechanisms: a possible genetic interaction with Ephx2, and a negative association with Treg abundance, which may be associated with dysregulation of CeA neuroimmune homeostasis. These preliminary observations provide a basis for further investigation into Cbr4 as an exploratory molecular indicator for AUD.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1831886</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1831886</link>
        <title><![CDATA[Clinical and neuropsychological profile of Alzheimer’s disease in Tunisia and the impact of APOE gene]]></title>
        <pubdate>2026-07-01T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Alya Gharbi</author><author>Ikram Sghaier</author><author>Mohamed El Habibi</author><author>Youssef Abida</author><author>Amira Souissi</author><author>Amal Atrous</author><author>Meriem Zantour</author><author>Imen Kacem</author><author>Amina Gargouri Berrechid</author><author>Mouna Ben Djebara</author><author>Riadh Gouider</author>
        <description><![CDATA[IntroductionAlzheimer’s disease (AD), the leading cause of major neurocognitive disorder (MNCD) worldwide and in Tunisia, is strongly associated with Apolipoprotein E (APOE). In the present study our aims are to characterize the clinical profile of Tunisian patients, determine APOE allelic and genotypic frequencies, and asses their influence on disease phenotype.MethodsWe included patients with a clinical diagnosis of probable or possible AD, who consulted in the Department of Neurology at Razi University Hospital over a span of 21 years. Demographic, clinical, and neuropsychological data were assessed. APOE genotyping was performed and its correlation to AD clinical features was evaluated.ResultsAmong 1,010 AD patients, the sex ratio was 0.62, with a mean age at onset of 68.9 ± 9.8 years. Consanguinity was reported in 30.2% of cases, and a family history of major neurocognitive disorder in 65.3%. The mean Mini-Mental State Examination (MMSE) and Frontal Assessment Battery (FAB) scores were 14.1 ± 7.7 and 6.5 ± 4.8, respectively. Overall, 47.0% of patients carried the APOE ε4 allele. The APOE ε3/ε3 genotype was the most frequent (45.94%), followed by APOE ε3/ε4 (40.99%). Age at onset was significantly earlier in APOE ε4 carriers compared to non-carriers (68.17 ± 10.05 vs. 69.53 ± 9.61 years; p = 0.027). Baseline cognitive performance was also significantly lower in APOE ε4 carriers, with reduced MMSE (11.65 ± 6.77 vs. 16.40 ± 7.85; p < 0.001) and FAB scores (5.46 ± 4.09 vs. 7.35 ± 5.11; p < 0.001). Neuropsychiatric assessment revealed significant associations between APOE ε4 carriage and visual hallucinations (p = 0.0015), aggressivity (p = 0.0022), disinhibition (p = 0.0039), and aberrant motor behavior (p = 0.0054). Finally, stratified analysis of the AD cohort according to educational attainment and APOE risk allele status demonstrated distinct patterns of cognitive impairment across the different subgroups.DiscussionThe APOE ε4 allele, frequent in North African AD, appears to function not only as a genetic risk factor for AD, but also as a potential indicator, influencing disease onset and clinical severity.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1903325</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1903325</link>
        <title><![CDATA[Rethinking scale in AI-driven genomic medicine – The role of small biobanks]]></title>
        <pubdate>2026-06-30T00:00:00Z</pubdate>
        <category>Perspective</category>
        <author>Laura Grech</author><author>Nikolai Paul Pace</author>
        <description><![CDATA[Artificial intelligence is rapidly advancing genomic medicine, but its clinical trustworthiness cannot be secured by larger datasets alone. This perspective argues that small biobanks, including national, regional, hospital-linked and disease-focused collections provide essential stress tests for AI-driven genomic medicine because they expose failures in population calibration, rare-variant interpretation, phenotype realism, privacy protection, and governance. Rather than serving primarily as substrates for training general-purpose models, small biobanks are most valuable as environments for external validation, local calibration, interpretability, federated analysis, and accountable deployment. Their local representativeness, clinical linkage, and governance structures can help determine whether AI predictions remain valid and clinically useful outside the large datasets on which they were developed. Trustworthy AI-powered genomic medicine will therefore depend not only on larger models and larger datasets, but also on smaller, well-governed biobanks that force those models to prove their validity in real-world settings.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1873535</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1873535</link>
        <title><![CDATA[Integrated hearing and genetic screening for neonatal deafness in a resource-limited region: insights from Qingyuan, China]]></title>
        <pubdate>2026-06-30T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Qin She</author><author>Hui-Lin Ou</author><author>Er-Fang Tang</author><author>Wei Huang</author><author>Wei-He Tan</author><author>Mu-Lan Zeng</author><author>Xiu-Feng Pan</author><author>Chen-Bing Liu</author>
        <description><![CDATA[ObjectiveThis study aimed to delineate the prevalence and mutation spectrum of deafness-associated genes among newborns in a resource-limited region of China, and to assess the diagnostic yield of combined hearing and genetic screening.MethodsFrom May 2017 to May 2023, 22,819 newborns underwent concurrent hearing screening and genetic screening for deafness-associated mutations using 9-variant or 23-variant microarrays targeting GJB2, SLC26A4, GJB3, and mitochondrial 12SrRNA. Whole-exome sequencing was performed in selected cases with inconclusive results. All infants were followed until 2.5 years of age.ResultsHearing screening confirmed hearing loss in 25 infants (0.11%). Genetic screening identified 994 (4.36%) mutation carriers, predominantly GJB2 (3.31%) and SLC26A4 (0.78%). Among 351 GJB2 109G>A heterozygotes, all had normal hearing at 2.5 years. Among 43 homozygotes, 7 (16.28%) had congenital deafness; the rest remained normal. All 42 mitochondrial mutation carriers remained deafness-free after preventive education. The 23-variant panel detected 24.73% positive cases (225-fold vs. hearing alone). WES resolved 80% of ambiguous cases.ConclusionGJB2 and SLC26A4 are the predominant deafness genes in this region. Combined screening identifies distinct risk groups, heterozygotes for reproductive counselling, mitochondrial carriers for prevention, and homozygotes for early intervention. Long-term follow-up of normal-hearing homozygotes showed low short-term delayed-onset risk.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1860633</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1860633</link>
        <title><![CDATA[Case report: Characterization of a patient with novel biallelic variants in GTF3C3 and comprehensive review of previously reported cases]]></title>
        <pubdate>2026-06-30T00:00:00Z</pubdate>
        <category>Case Report</category>
        <author>Lucía López-López</author><author>Beatriz González Giráldez</author><author>Yolanda Benítez</author><author>Belén Benavides</author><author>Carmen Ayuso</author><author>Pablo Mínguez</author><author>Fiona Blanco-Kelly</author><author>Berta Almoguera</author>
        <description><![CDATA[Biallelic variants in GTF3C3 have been recently associated with an autosomal recessive form of syndromic intellectual disability, with only 16 patients reported to date. Using whole exome sequencing, we identified previously unreported biallelic GTF3C3 variants in a new patient, who also represents the oldest reported individual so far. We detail the genotype and phenotype of this case and provide a comprehensive review of all published patients to better define the clinical features and their frequency. The most consistent manifestations across the cohort include global developmental delay, intellectual disability, epilepsy, central nervous system malformations, and additional neurological abnormalities. This case, together with the literature review, further delineates the phenotype associated with GTF3C3.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1833404</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1833404</link>
        <title><![CDATA[Single-cell transcriptomic insights into the intrinsic cardiac nervous system: diversity, development, and neuro-cardiac interactions]]></title>
        <pubdate>2026-06-30T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Jihao Zheng</author><author>Ruotong Wu</author><author>Chujiao Gu</author><author>Changsheng Chen</author><author>Linsheng Shi</author>
        <description><![CDATA[The intrinsic cardiac nervous system (ICNS), composed of sympathetic, parasympathetic, and sensory neurons embedded within the heart, plays a pivotal role in regulating cardiac electrophysiology and contractility. Functional imbalance within this network represents a central mechanism driving myocardial infarction, heart failure (HF), atrial fibrillation (AF), and hypertension. Despite decades of investigation, the precise pathophysiological basis of ICNS involvement in cardiovascular disease remains poorly understood. Traditional bulk RNA sequencing, which measures averaged gene expression across pooled cells, fails to capture the cellular heterogeneity of ICNS, particularly rare neuronal and glial subpopulations. Consequently, critical regulatory pathways have been obscured. Single-cell RNA sequencing (scRNA-seq) has overcome this limitation by enabling transcriptional profiling at single-cell resolution. This breakthrough has refined cellular taxonomy within the ICNS and revealed dynamic molecular networks that underlie heart-neural interactions. This review summarizes technological breakthroughs in single-cell isolation, lineage tracing, and spatial transcriptomics, and highlights key discoveries including the identification of cardiac nexus glia (CNG), arrhythmogenic neuron subtypes, and neuroimmune interactions in cardiovascular diseases. We also discuss existing methodological bottlenecks and current challenges in data integration, species translation, and clinical application, and future research goals that could bridge the gap between molecular insight and therapeutic application.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1877181</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1877181</link>
        <title><![CDATA[Identification and validation of bile exosomal microRNA signatures for diagnosing acute rejection in liver transplant recipients]]></title>
        <pubdate>2026-06-29T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Wenjing Wang</author><author>Hui Wang</author><author>Wen Li</author><author>Renchi Fu</author><author>Bo Wang</author><author>Bo Guo</author>
        <description><![CDATA[IntroductionAcute rejection (AR) remains a major complication affecting graft function and recipient prognosis after liver transplantation (LT). Bile exosomal microRNAs (miRNAs) possess organ specificity, local enrichment, and high stability, making them promising non-invasive liquid biopsy biomarkers for the early detection of AR.MethodsIn this study, bile samples were collected from 30 LT recipients with AR and 30 recipients with stable graft function (non-AR). Exosomes were isolated via ultracentrifugation and characterized. Total RNA was extracted and subjected to small RNA sequencing, followed by bioinformatics analysis. Candidate differentially expressed miRNAs were then validated using Real-Time Quantitative PCR (qRT-PCR) in an expanded cohort.ResultsSequencing revealed 63 significantly upregulated and 4 downregulated miRNAs in the AR group compared with the non-AR group. Target genes of candidate differentially expressed miRNAs were enriched in key immune-regulatory pathways, including PI3K-Akt and MAPK signaling. qRT-PCR validation further confirmed that the expression levels of miR-181a-5p, miR-200c-3p, and miR-192-5p in bile exosomes were significantly higher in the AR group (P < 0.0001).DiscussionOur findings identify and validate bile exosomal miRNA signatures for AR in LT recipients, supporting these miRNAs as a low-risk, organ-specific liquid biopsy strategy for AR diagnosis, with potential for clinical translation in post-transplant monitoring.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1898696</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1898696</link>
        <title><![CDATA[Correction: The impact of X chromosome inactivation on human health]]></title>
        <pubdate>2026-06-29T00:00:00Z</pubdate>
        <category>Correction</category>
        <author>Junyi Gu</author><author>Qian Chen</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1701742</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1701742</link>
        <title><![CDATA[L-tetrahydropalmatine attenuates ketamine reward effect via modulating the miR-27a-3p/MAP2K4 axis]]></title>
        <pubdate>2026-06-29T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yan Du</author><author>Xing-Cui Gao</author><author>Qing Ma</author><author>Bei Li</author><author>Yanting Chen</author><author>Hong-Liang Su</author><author>Li Du</author><author>Tai-Gang Liang</author>
        <description><![CDATA[IntroductionKetamine (KET) addiction has already been a serious problem all over the world, which could induce neurological and psychological harm. Levo-tetrahydropalmatine (l-THP), a major alkaloid extracted from the Chinese medicinal plants Corydalis and Stephania, has been shown to attenuate ketamine (KET) induced conditioned place preference (CPP) in rats. Nevertheless, the precise mechanism remains unknown, and further research is necessary.MethodsThis study aimed to investigate the role of the brain-derived neurotrophic factor/tropomyosin-related kinase B (BDNF/TrkB) signaling pathway and microRNAs (miRNAs) in the modulatory effects of l-THP on KET reward effect. A rat CPP model and PC12 cell addiction model were developed. Next-generation high-throughput miRNA sequencing was utilized to identify candidate miRNAs. Behavioral assessments, real-time PCR, Western blotting, and cell transfection studies were conducted to clarify the impact of the selected miRNAs and the mechanism of l-THP intervention on KET reward effect.Resultl-THP effectively attenuated KET-induced CPP and activated key proteins in the BDNF/TrkB signaling pathway. In addition, l-THP reversed the increased expression of miR-27a-3p in KET-abused rats and PC12 cells. Furthermore, inhibition of miR-27a-3p expression using an miR-27a-3p inhibitor in PC12 cells resulted in increased mitogen-activated protein kinase 4 (MAP2K4) expression, indicating that MAP2K4 is a potential functional target of miR-27a-3p in vitro.ConclusionOur findings demonstrate that l-THP attenuates KET reward effect by modulating the BDNF/TrkB pathway and the miR-27a-3p/MAP2K4 axis, which may be promising targets for the intervene of KET reward effect.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1830873</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1830873</link>
        <title><![CDATA[Distribution of CYP2C19 genetic polymorphisms and pharmacogenomic implications in 11,710 patients with cardiovascular and cerebrovascular conditions: a large population-based study in eastern China]]></title>
        <pubdate>2026-06-29T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Minfei Peng</author><author>Minmin He</author><author>Ying Chen</author><author>Xiaoli Zhu</author><author>Jun Li</author>
        <description><![CDATA[ObjectiveTo investigate the distribution of CYP2C19 genetic polymorphisms among patients with cardiovascular and cerebrovascular conditions in Taizhou, Zhejiang Province, and to evaluate their pharmacogenomic implications for genotype-guided antiplatelet therapy.MethodsWe conducted a retrospective population-based analysis of 11,710 patients with cardiovascular and cerebrovascular conditions who underwent CYP2C19 genotyping at Taizhou Hospital of Zhejiang Province between January 2023 and December 2025. Genotyping of CYP2C19*2 and CYP2C19*3 alleles was performed using fluorescence-based quantitative polymerase chain reaction (PCR). Genotype and allele frequencies were calculated using the gene counting method. Hardy–Weinberg equilibrium (HWE) was assessed using the χ2 test. Differences in genotype and phenotype distributions across gender and age groups were analyzed using the χ2 test, and P < 0.05 was considered statistically significant.ResultsThe allele frequencies of CYP2C19*1, *2, and *3 were 61.01%, 34.11%, and 4.88%, respectively. The distribution of metabolic phenotypes was as follows: normal metabolizers (NMs), 37.15%; intermediate metabolizers (IMs), 47.73%; and poor metabolizers (PMs), 15.12%. Genotype distributions were consistent with Hardy–Weinberg equilibrium (P > 0.05). No significant differences were observed in genotype or phenotype distributions across gender or age groups (P > 0.05). Regional comparisons showed that the distribution pattern in Taizhou was consistent with that reported in other regions of eastern China but differed from southern and western populations (P < 0.05). The proportion of individuals carrying at least one loss-of-function allele (IMs + PMs) reached 62.85%, indicating a high prevalence of genotypes associated with reduced clopidogrel responsiveness.ConclusionThis large population-based pharmacogenomic study demonstrates a high prevalence of CYP2C19 loss-of-function alleles in patients with cardiovascular and cerebrovascular conditions from Taizhou. These findings support the clinical value of CYP2C19 genotyping for individualized antiplatelet therapy and provide important genetic epidemiology data for precision medicine in this population.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1837827</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1837827</link>
        <title><![CDATA[The miR-16-1-3p passenger strand exhibits functional activity and suppresses malignant phenotypes in osteosarcoma]]></title>
        <pubdate>2026-06-26T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Wenyu Xue</author><author>Yuzhe Wang</author><author>Polina Pugacheva</author><author>Anna V. Smirnova</author><author>Roman Chuprov-Netochin</author><author>Margarita Pustovalova</author><author>Denis V. Kuzmin</author><author>Sergey Leonov</author>
        <description><![CDATA[BackgroundChemotherapy resistance and disease progression remain major causes of mortality in osteosarcoma (OS). The miR-16 family is linked to tumors, but the specific function and treatment potential of the miR-16-1-3p passenger strand in OS remain unclear.MethodsRNA sequencing and clinical data from 82 OS patients in the TARGET-OS cohort were analyzed. Patients were stratified by progression status. Target genes of miR-16-1-3p were predicted using TargetScan and evaluated by gene set enrichment analysis (GSEA). Principal component analysis (PCA) and Kaplan–Meier survival analyses were performed based on cumulative Z-score–derived expression of the target gene set. Functional enrichment was assessed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The impact of lentivirus-transduced miR-16-1-3p on U2OS cells was examined, focusing on proliferation, cell cycle, migration, colony formation, cisplatin sensitivity, and tumor growth in the CAM in vivo model. A fluorescent miRNA sensor was developed to assess intracellular target-binding functionality of the miR-16-1-3p passenger strand. Direct regulation of candidate target gene expression was validated using luciferase reporter assays and quantitative PCR. Expression of validated targets was further examined in a limited cohort of 15 chemotherapy-treated OS patients.ResultsGSEA demonstrated significant enrichment of predicted miR-16-1-3p target genes among genes upregulated in patients with progressive disease. Kaplan–Meier analysis showed that elevated cumulative expression of predicted miR-16-1-3p target genes was associated with poorer overall survival in osteosarcoma patients. GO and KEGG analyses revealed enrichment of pathways related to translational regulation, mitochondrial function, and chemotherapy-associated signaling. A fluorescent miR-16-1-3p sensor system demonstrated sequence-dependent suppression of reporter activity following miR-16-1-3p overexpression. In functional assays performed in both U2OS and HOS cells, miR-16-1-3p overexpression significantly suppressed proliferation and migration and increased cisplatin sensitivity compared with control (scrambled miRNA) virus-transduced cells. Quantitative PCR and luciferase reporter assays further supported the interaction of miR-16-1-3p with SLC38A1 and ABCA13, two candidate genes potentially associated with chemoresistance.ConclusionThe miR-16-1-3p passenger strand exhibited functional activity associated with tumor-suppressive phenotypes and increased cisplatin sensitivity in osteosarcoma cells. Using integrative bioinformatics, fluorescent sensor assays, and functional experiments in U2OS and HOS cells points to miR-16-1-3p possibly regulating cancer characteristics and how osteosarcoma reacts to chemotherapy.]]></description>
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